Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning

9 March 2019

Papers citing "Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning"

7 / 7 papers shown

Title
Large Language Models Assume People are More Rational than We Really are Ryan Liu Jiayi Geng Joshua C. Peterson Ilia Sucholutsky Thomas Griffiths 76 18 0 24 Jun 2024
Representational Alignment Supports Effective Machine Teaching Ilia Sucholutsky Katherine M. Collins Maya Malaviya Nori Jacoby Weiyang Liu ... J. Tenenbaum Brad Love Z. Pardos Adrian Weller Thomas Griffiths 59 3 0 06 Jun 2024
The Role of Higher-Order Cognitive Models in Active Learning Oskar Keurulainen G. Alcan Ville Kyrki 46 0 0 09 Jan 2024
Active teacher selection for reinforcement learning from human feedback Rachel Freedman Justin Svegliato K. H. Wray Stuart J. Russell 31 6 0 23 Oct 2023
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas Griffiths Dylan Hadfield-Menell LM&Ro 43 20 0 16 Jun 2022
Communicating Robot Conventions through Shared Autonomy Ananth Jonnavittula Dylan P. Losey 28 7 0 22 Feb 2022
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020